Scientel® Gensonix® NoSQL DB For Big Data Featured As June 2014 Cover Story by CIOReview/India Magazine

Bingham Farms, MI (PRWEB) June 25, 2014

Every day that goes by, all analytical organizations are concluding that Big Data is increasing by leaps and bounds and predicting that systems of today will not be able to keep up with upcoming demands. Systems are needed that are highly efficient as well as ones that can grow to large configurations, to be able to store and manage Big Data of any size. In this regard, Scientel clearly stands out as a leader, as one of the few companies in the world with the advanced technical capabilities required to take advantage of the Big Data market over the next decade–which has added $ 156 Billion to the US economy last year alone.

“CIOReview/India” magazine focuses on leaders in various businesses and technologies, and chose Scientel to feature on the cover of its June, 2014 issue because Scientel stands out in various ways, particularly with regard to Big Data capabilities. Scientel stands out as one of the first companies to market NoSQL-based systems technology—and cost effective handling of Big Data depends on NoSQL. Scientel noticed vulnerabilities and limitations of the SQL database, and these conclusions became fairly well established worldwide in the last decade. Scientel pushed its technology to demonstrate the fact that ultimately in the Big Data arena, SQL technologies are not going to suffice, and we will be needing new technologies like NoSQL.

Scientel storage mechanisms are uniquely efficient, in both software and hardware. Therefore, Scientel systems can store more data more cost-effectively than all other SQL and NoSQL competitors. Also, Scientel can scale to very large systems so that customers will not experience “designed-in obsolescence”, and they can keep expanding their hardware without having to replace it. Further, Scientel incorporates Massively Parallel Processing in its technology where many servers act effectively in parallel, providing very fast and very highly efficient solutions.

Scientel, under the leadership of Norman T. Kutemperor, began its journey in database management way before the Internet era, when the team started developing DBMS to address the small-to-medium business enterprise environments in 1978. Although Oracle and IBM released SQL-based Relational DBs in the early 1980s, as far back as 1985, Scientel was already developing NoSQL-type tools for Unstructured DB Analytics, and in 1988, released an initial Non-SQL version of a DB. “By then IBM and Oracle had already established SQL standards. Around 1989, our research uncovered Big Data in the soon to arrive Internet era; and identified major vulnerabilities with SQL DBs; thus we were able to accurately predict the limitations of SQL for Big Data,” says Kutemperor. Though Big Data was a term still in its infancy, Scientel proceeded with unfailing commitment to Non-SQL DBMS research and released the Gensonix NoSQL DB in 1993. The product included distinct procedural NoSQL capabilities for structured as well as unstructured data which were way ahead of its time.

Scientel has built its services based upon four core products that are backed up to two platforms. The product range includes the ECMS system, which is a first of its kind data management tool to decipher both structured and unstructured content. The DBIS Intranet, built by the Scientel team, provides an interactive, web-like Supply chain Management System designed to run on the client’s intranet. Thirdly, the DBIS e-Commerce product provides enterprises with an easier way to transact businesses over the Internet with a secured server for protection of critical data. Perhaps one of the major differentiating factors of Scientel would be its ability to scale massively. The Scientel base level Large Data Warehouse Appliance (LDWA) machine designated LDWA2200 system has been integrated with over 172 CPU cores, which easily matches the size of an IBM series Z mainframe.

The Gensonix suite is the flagship platform of the organization that provides a Highly Scalable Server Environment capable of handling Big Data requirements of any size. “Although it has similar capabilities found in standard, SQL–based database management systems, its power, flexibility and scalability can do so much more,” points out Kutemperor. For large scale enterprises, taking the Gensonix capabilities to the next level is Scientel’s LDWA series that has been optimized to run the Gensonix Enterprise NoSQL DBMS to provide management and maintenance of super databases which can range into trillions of transaction records and billions of customers. Thus, the combination of the 4 product lines, coupled with the company’s three decade old expertise in Big Data, makes Scientel’s offerings a force to reckon with in the data sciences and analytics market today.

Bottom-line, Scientel provides complete, single-source, Big Data system solutions, including hardware, DBMS software, and applications based on a highly-advanced, user-friendly, NoSQL DB language structure and flexible data models that can scale cost-effectively to very large configurations for all Big Data requirements.

About Scientel Information Technology, Inc.

Scientel Information Technology, Inc. is a U.S.-based, international, systems technology company, operational since 1977. Scientel also designs/produces highly optimized high end servers, which can be bundled with its “GENSONIX® ENTERPRISE” DBMS software, as a single-source supplier of complete systems for Big Data environments. Scientel also customizes hardware and software for specific applications resulting in higher performance.

Business customers can take advantage of Scientel’s capabilities in advanced Business Intelligence and Data Analytics to grow their business by handling Big Data more cost-effectively and with greater insights to remain competitive. Scientific, government, and similar organizations can use these capabilities to efficiently process Big Data, instead of being swamped by it. And, Scientel’s Enterprise Content Management & Search solutions can vastly simplify storage, access, and management of any kind of digitized data for any size organization.